Working Student - Artificial Intelligence and Process Automation in SAP Logistics Services
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Role details
Tech stack
Job description
You’ll work where enterprise logistics meets modern AI - identifying where automation can make SAP’s internal supply chain smarter and more efficient.
- Identify and evaluate AI use cases across SAP Logistics Services
- Build and test prototypes using tools such as Claude Code, n8n, and Joule Work
- Analyse logistics processes to surface opportunities for simplification and automation
- Support upskilling sessions to help colleagues use AI tools with confidence
- Contribute to AI projects beyond Logistics Services and share insights across teams
- Document findings, experiments, and best practices to build a shared knowledge base
Where you belong
SAP Logistics Services keeps SAP running - delivering goods, materials, and documents to locations worldwide. The team covers postal services, warehousing, dispatch, driver services, and order coordination. You’ll be working at the frontier of logistics and AI, where your prototypes and ideas will shape real operations. When you join SAP, you’ll be a part of SAP Next Gen - a global community of students and early professionals with access to mentors, development programmes, and peers. The role is based in Walldorf, with hybrid working welcome.
Please apply initially with your resume in table form. In a later stage we will ask you to upload also school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships).
This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.
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Requirements
You’re studying computer science, business informatics, data science, or a related field. You’re curious about AI and want to apply it - not just read about it.
- A genuine interest in artificial intelligence, automation, and how technology improves operations
- First experience with programming and an eagerness to experiment with LLMs and generative AI tools
- A structured, independent approach - you manage your own tasks and deliver results
- A collaborative mindset and a willingness to share what you learn with colleagues
- Customer orientation - you keep end users in mind when designing and testing solutions
- Fluency in German and a good command of English are required for this role
We also look for people who communicate clearly, keep the customer in mind, and enjoy finding smart solutions to problems - whatever stage of your career you’re at.
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